ML Ops Engineer
Infosys
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Job Description
- Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience with containerization (Docker) and orchestration (Kubernetes).
- Familiarity with cloud platforms (AWS, Azure, GCP) and ML services.
- Expertise in CI/CD tools (GitHub Actions, Jenkins, Argo).
- Knowledge of feature stores, model registries, and ML observability tools.
- Understanding of data versioning and experiment tracking (MLflow, DVC). Key Responsibilities:
- Develop and maintain CI/CD pipelines for ML models and data workflows.
- Automate model training, testing, deployment, and rollback processes.
- Implement monitoring and alerting for model performance and data drift.
- Optimize infrastructure for cost, scalability, and reliability (cloud or hybrid environments).
- Collaborate with data scientists and software engineers to integrate ML models into production.
- Ensure compliance with security, governance, and reproducibility standards. Experience:
- 5–8 years of experience in software engineering or data engineering, with at least 3+ years in MLOps. Preferred Qualifications:
- Experience with large-scale ML systems and distributed training.
- Familiarity with GenAI model deployment and optimization.
- Strong problem-solving and debugging skills in production environments
About The Company
Infosys
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.
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